Illinois Agriculture Statistics and Key Data Sources

Illinois consistently ranks among the top three corn and soybean-producing states in the nation, which makes the data infrastructure behind that production far more than a bureaucratic exercise. This page covers the primary statistical sources tracking Illinois agriculture, how those measurement systems work, where different datasets overlap or diverge, and how to match the right data source to a specific research or policy question.

Definition and scope

Agricultural statistics, at the state level, are systematic measurements of production volumes, acreage, livestock inventories, prices, income, and land values — collected, verified, and published by designated public agencies on regular schedules. In Illinois, this function is shared between two principal bodies: the USDA National Agricultural Statistics Service (NASS) Illinois Field Office and the Illinois Department of Agriculture (IDOA).

NASS is the federal arm. It conducts the quinquennial Census of Agriculture (most recently for reference year 2022, published in 2024) and releases dozens of annual and seasonal surveys covering planted acreage, yield estimates, livestock numbers, and farm income. IDOA operates in parallel, publishing state-level reports on licensed dealers, market conditions, and regulatory compliance — data that NASS typically does not capture.

The USDA Economic Research Service (ERS) layers economic analysis on top of raw production numbers, providing state-level farm income accounts, operator household income estimates, and farmland value time series. These three sources — NASS, IDOA, and ERS — form the core reference stack for Illinois agricultural data.

What this scope covers and what it does not: This page addresses publicly available statistical sources that measure Illinois agriculture within the state's geographic boundaries. Federal datasets that aggregate Illinois into multi-state regional figures without Illinois-specific breakdowns fall outside the scope of this page. International trade statistics (such as export volumes by destination country) are tracked separately through USDA's Foreign Agricultural Service (FAS) and are not produced at the state level — readers interested in Illinois agricultural exports should consult FAS Global Agricultural Trade System (GATS) data alongside NASS production totals.

How it works

NASS produces its Illinois estimates through a layered survey methodology. The agency maintains a list frame — a database of known farm operations compiled from FSA records, tax rolls, and prior census responses — and an area frame, a probability sample of land parcels selected regardless of whether they are known to be farms. The two frames are reconciled statistically to produce estimates with published confidence intervals.

For the major row crops, NASS releases estimates on a fixed calendar:

  1. Prospective Plantings (late March) — surveyed farmer intentions for corn and soybean acres
  2. Acreage (late June) — confirmed planted acres after spring fieldwork
  3. Crop Production monthly reports (August through November) — yield forecasts updated as the crop matures
  4. Annual Summary (January of the following year) — final certified production totals

This cadence matters because the numbers change. A state like Illinois that planted 11.0 million acres of corn in a given year (NASS Crop Production Annual Summary) may see that figure revised upward or downward at each successive release based on updated field observations. Using a mid-season estimate as a final figure is a common error in secondary reporting.

ERS farmland value data follows a different rhythm — an annual survey published each fall as the Land Values Summary. Illinois cropland values ranked among the highest in the Corn Belt, reflecting both productivity and market competition for productive acres. Readers examining Illinois farmland values should note that ERS reports state-level averages, which can mask significant intra-state variation between northern and southern Illinois counties.

Common scenarios

Three situations drive most statistical lookups for Illinois agriculture:

Crop production benchmarking — An elevator operator, grain merchandiser, or commodity analyst needs to know how the current Illinois corn harvest compares to prior years. The correct source is NASS's Crop Production series, not press releases or trade association estimates. The Illinois corn farming and Illinois soybean farming production histories are documented in NASS QuickStats, a publicly accessible database that returns downloadable data by commodity, year, and statistic type.

Farm income and financial stress assessment — A lender or farm policy researcher needs state-level net farm income estimates. ERS publishes these as part of its State Farm Income and Wealth Statistics series, updated annually. These figures feed into analyses of Illinois farm economics and inform stress-testing models for agricultural credit portfolios.

Farmland market analysis — County assessors, appraisers, and attorneys handling estate settlements frequently need market-rate benchmarks. NASS's Land Values survey provides the state average; the University of Illinois farmdoc project publishes county-level estimates from its own survey data, which fills the gap that NASS's state-level aggregation leaves open.

Decision boundaries

Choosing the right dataset depends on the unit of analysis and the temporal precision required. NASS data is authoritative for production statistics but is designed for state and regional aggregation — it does not produce county-level yield estimates for most crops. The Census of Agriculture, published every five years, is the only NASS product with county-level detail on farm numbers, sales, operator demographics, and land use.

For county-level annual data, the University of Illinois Extension and Illinois agricultural research institutions fill the gap with independent surveys and modeled estimates. These are useful but carry different methodological assumptions than federal estimates, and the two should not be averaged together.

A useful contrast: NASS QuickStats is the right tool for answering "how many bushels of soybeans did Illinois produce in 2022?" (NASS QuickStats shows 609 million bushels for that year.) ERS is the right tool for answering "what was Illinois net farm income that year?" QuickStats will not answer the second question, and ERS will not answer the first with the same granularity.

The /index for this site provides an orientation to all major topic areas covered, including regulatory programs, conservation policy, and farm financing — domains where statistical sources interact with program eligibility rules in ways the data alone does not explain.

References

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